Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows
Fuente:
arXiv
Saved in:
| Main Authors: | Lehmann, Fabian, Bader, Jonathan, De Mecquenem, Ninon, Wang, Xing, Bountris, Vasilis, Friederici, Florian, Leser, Ulf, Thamsen, Lauritz |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HyProv: Hybrid Provenance Management for Scientific Workflows
by: Bountris, Vasilis, et al.
Published: (2025)
by: Bountris, Vasilis, et al.
Published: (2025)
Exploring the Potential of Carbon-Aware Execution for Scientific Workflows
by: West, Kathleen, et al.
Published: (2025)
by: West, Kathleen, et al.
Published: (2025)
WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows
by: Lehmann, Fabian, et al.
Published: (2025)
by: Lehmann, Fabian, et al.
Published: (2025)
A Systematic Evaluation of the Potential of Carbon-Aware Execution for Scientific Workflows
by: West, Kathleen, et al.
Published: (2025)
by: West, Kathleen, et al.
Published: (2025)
Augur: Pre-Execution Energy Prediction for Workflow Tasks in Heterogeneous Clusters
by: West, Kathleen, et al.
Published: (2026)
by: West, Kathleen, et al.
Published: (2026)
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks
by: Bader, Jonathan, et al.
Published: (2023)
by: Bader, Jonathan, et al.
Published: (2023)
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks
by: Bader, Jonathan, et al.
Published: (2024)
by: Bader, Jonathan, et al.
Published: (2024)
Large Language Models to the Rescue: Reducing the Complexity in Scientific Workflow Development Using ChatGPT
by: Sänger, Mario, et al.
Published: (2023)
by: Sänger, Mario, et al.
Published: (2023)
KS+: Predicting Workflow Task Memory Usage Over Time
by: Bader, Jonathan, et al.
Published: (2024)
by: Bader, Jonathan, et al.
Published: (2024)
Predicting the Performance of Scientific Workflow Tasks for Cluster Resource Management: An Overview of the State of the Art
by: Bader, Jonathan, et al.
Published: (2025)
by: Bader, Jonathan, et al.
Published: (2025)
Low-level I/O Monitoring for Scientific Workflows
by: Witzke, Joel, et al.
Published: (2024)
by: Witzke, Joel, et al.
Published: (2024)
Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification
by: Will, Jonathan, et al.
Published: (2025)
by: Will, Jonathan, et al.
Published: (2025)
Ichnos: A Carbon Footprint Estimator for Scientific Workflows
by: West, Kathleen, et al.
Published: (2024)
by: West, Kathleen, et al.
Published: (2024)
Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters
by: Thamsen, Lauritz, et al.
Published: (2025)
by: Thamsen, Lauritz, et al.
Published: (2025)
Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters
by: Thamm, Philipp, et al.
Published: (2025)
by: Thamm, Philipp, et al.
Published: (2025)
Proceedings of the 1st International Workshop on Low Carbon Computing (LOCO 2024)
by: Vanderbauwhede, Wim, et al.
Published: (2026)
by: Vanderbauwhede, Wim, et al.
Published: (2026)
Spatio-Temporal Shifting to Reduce Carbon, Water, and Land-Use Footprints of Cloud Workloads
by: Attenni, Giulio, et al.
Published: (2025)
by: Attenni, Giulio, et al.
Published: (2025)
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization
by: Geldenhuys, Morgan, et al.
Published: (2024)
by: Geldenhuys, Morgan, et al.
Published: (2024)
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications
by: Scheinert, Dominik, et al.
Published: (2023)
by: Scheinert, Dominik, et al.
Published: (2023)
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling
by: Will, Jonathan, et al.
Published: (2024)
by: Will, Jonathan, et al.
Published: (2024)
A Terminology for Scientific Workflow Systems
by: Suter, Frédéric, et al.
Published: (2025)
by: Suter, Frédéric, et al.
Published: (2025)
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
by: da Silva, Rafael Ferreira, et al.
Published: (2024)
by: da Silva, Rafael Ferreira, et al.
Published: (2024)
Memory-aware Adaptive Scheduling of Scientific Workflows on Heterogeneous Architectures
by: Kulagina, Svetlana, et al.
Published: (2025)
by: Kulagina, Svetlana, et al.
Published: (2025)
Enabling Scientific Workflow Scheduling Research in Non-Uniform Memory Access Architectures
by: Vivas, Aurelio, et al.
Published: (2025)
by: Vivas, Aurelio, et al.
Published: (2025)
FedZero: Leveraging Renewable Excess Energy in Federated Learning
by: Wiesner, Philipp, et al.
Published: (2023)
by: Wiesner, Philipp, et al.
Published: (2023)
Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows
by: Kilic, Ozgur Ozan, et al.
Published: (2024)
by: Kilic, Ozgur Ozan, et al.
Published: (2024)
Experimentally Evaluating the Resource Efficiency of Big Data Autoscaling
by: Will, Jonathan, et al.
Published: (2025)
by: Will, Jonathan, et al.
Published: (2025)
A Fault Tolerance Mechanism for Hybrid Scientific Workflows
by: Mulone, Alberto, et al.
Published: (2024)
by: Mulone, Alberto, et al.
Published: (2024)
Enhancing Energy Efficiency in Scientific Workflows through CFD based PIVAEs
by: Zahir, Ali, et al.
Published: (2026)
by: Zahir, Ali, et al.
Published: (2026)
A Study on Messaging Trade-offs in Data Streaming for Scientific Workflows
by: George, Anjus, et al.
Published: (2025)
by: George, Anjus, et al.
Published: (2025)
Scientific Workflow Scheduling in Cloud Considering Cold Start and Variable Pricing Model
by: Sarkar, Suvarthi, et al.
Published: (2025)
by: Sarkar, Suvarthi, et al.
Published: (2025)
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization
by: Wang, Daoce, et al.
Published: (2024)
by: Wang, Daoce, et al.
Published: (2024)
Optimizing Memory Allocation in Distributed Clusters with Predictive Modeling
by: Bader, Jonathan, et al.
Published: (2026)
by: Bader, Jonathan, et al.
Published: (2026)
Mapping Large Memory-constrained Workflows onto Heterogeneous Platforms
by: Kulagina, Svetlana, et al.
Published: (2024)
by: Kulagina, Svetlana, et al.
Published: (2024)
A Performance Analysis of Task Scheduling for UQ Workflows on HPC Systems
by: Loi, Chung Ming, et al.
Published: (2025)
by: Loi, Chung Ming, et al.
Published: (2025)
A Communication- and Memory-Aware Model for Load Balancing Tasks
by: Lifflander, Jonathan, et al.
Published: (2024)
by: Lifflander, Jonathan, et al.
Published: (2024)
Empowering Scientific Workflows with Federated Agents
by: Kamatar, Alok, et al.
Published: (2025)
by: Kamatar, Alok, et al.
Published: (2025)
Intelligent resource prediction for SAP HANA continuous integration build workloads
by: Mandel, Torsten, et al.
Published: (2026)
by: Mandel, Torsten, et al.
Published: (2026)
ProvDeploy: Provenance-oriented Containerization of High Performance Computing Scientific Workflows
by: Kunstmann, Liliane, et al.
Published: (2024)
by: Kunstmann, Liliane, et al.
Published: (2024)
Paving the Way to Hybrid Quantum-Classical Scientific Workflows
by: Cranganore, Sandeep Suresh, et al.
Published: (2024)
by: Cranganore, Sandeep Suresh, et al.
Published: (2024)
Similar Items
-
HyProv: Hybrid Provenance Management for Scientific Workflows
by: Bountris, Vasilis, et al.
Published: (2025) -
Exploring the Potential of Carbon-Aware Execution for Scientific Workflows
by: West, Kathleen, et al.
Published: (2025) -
WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows
by: Lehmann, Fabian, et al.
Published: (2025) -
A Systematic Evaluation of the Potential of Carbon-Aware Execution for Scientific Workflows
by: West, Kathleen, et al.
Published: (2025) -
Augur: Pre-Execution Energy Prediction for Workflow Tasks in Heterogeneous Clusters
by: West, Kathleen, et al.
Published: (2026)